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Richer fusion network for breast cancer classification based on multimodal data.
Yan, Rui; Zhang, Fa; Rao, Xiaosong; Lv, Zhilong; Li, Jintao; Zhang, Lingling; Liang, Shuang; Li, Yilin; Ren, Fei; Zheng, Chunhou; Liang, Jun.
Affiliation
  • Yan R; High Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
  • Zhang F; University of Chinese Academy of Sciences, Beijing, China.
  • Rao X; High Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
  • Lv Z; Department of Pathology, Peking University International Hospital, Beijing, China.
  • Li J; High Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
  • Zhang L; High Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
  • Liang S; Department of Oncology, Peking University International Hospital, Beijing, China.
  • Li Y; Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
  • Ren F; Xingtai People's Hospital, Hebei, China.
  • Zheng C; High Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. renfei@ict.ac.cn.
  • Liang J; College of Computer Science and Technology, Anhui University, Hefei, China. zhengch99@126.com.
BMC Med Inform Decis Mak ; 21(Suppl 1): 134, 2021 04 22.
Article in En | MEDLINE | ID: mdl-33888098
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: BMC Med Inform Decis Mak Journal subject: INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: China Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: BMC Med Inform Decis Mak Journal subject: INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: China Country of publication: United kingdom